Manager

AI Engineer

• 5+ years of experience as a NLP and Python developer.
• Experience with Pandas, NumPy, Scikit, NLP a must have.
• Key fundamentals in object-oriented design, data structures and systems.
• Ability to integrate multiple data sources into a single system.
• Familiarity with testing tools.
• Ability to collaborate on projects and work independently when required.
• Working knowledge of GitHub and Jira.
• Ability to document requirements and specifications.
• Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.
• Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.
• Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation.
• Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.
• Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency.
• Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities.
• Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success.

GenAI Engineer

Data Scientist

• Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.
• Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.
• Perform R&D by exploring and optimizing algorithms, methodologies, and technologies to tackle complex problems and drive innovation.
• Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research.
• Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations.

• Design and build agentic LLM solutions (single- and multi-agent patterns) to solve real business problems across domains (e.g., customer support, document intelligence, knowledge retrieval).
• Build RAG pipelines end-to-end: data ingestion → chunking/embeddings → vector search → retrieval orchestration → response synthesis, with measurable quality.
• Implement prompt engineering and prompt orchestration (prompt chains, tool-calling, function calling), including prompt iteration and cost/latency optimisation.
• Develop production services/APIs for LLM applications (e.g., FastAPI/Flask/Streamlit) and integrate with enterprise systems and data sources.
• Apply guardrails to reduce hallucinations, enforce policy constraints, and ensure safe tool usage; implement evaluation strategies for LLM and RAG outputs.
• Collaborate with Data Engineering teams to ensure data quality, governance, and documentation standards, and with MLOps/Platform teams for CI/CD, monitoring, and reliable deployments.
• Create and maintain technical documentation, solution design artefacts, and reusable components for faster delivery and consistent engineering practices.

AI Engineer – Claude, LLM Skills

Call Center Representative

• Overseeing day-to-day customer service operations
• Ensuring efficient handling of inbound and outbound calls while maintaining high-quality service standards
• Managing a team of customer service representatives
• Providing coaching and performance feedback
• Monitoring workflow to meet client-specific service levels
• Ensuring accurate and timely updates to policy information
• Compliance with all regulatory requirements (including HIPAA)
• Maintaining strict adherence to established communication scripts and procedures

Call Center Manager – Healthcare Industry

Analyst

• Oversee work performed by the high cost drug audit program to ensure accuracy
• Undertake quality reviews of coding audits
• Provide mentoring of staff in HCD program
• Develop audit feedback sessions for auditors
• Identify general training trends and requirements

HCD Quality Analyst – Assistant Manager

Technical Project Manager

• Drive end-to-end execution of Data & Analytics projects from initiation through production deployment.
• Manage delivery of data engineering, cloud, reporting, integration, and analytics workstreams.
• Coordinate across technical teams including Data Engineers, BI Developers, QA, DevOps, Architects, and Business stakeholders.
• Track project plans, sprint progress, RAID logs, milestones, dependencies, and deliverables.
• Lead Agile ceremonies including sprint planning, standups, backlog grooming, retrospectives, and stakeholder reviews.
• Ensure predictable delivery by proactively identifying blockers, risks, and mitigation plans.
• Partner with technical leads to align architecture, implementation, and deployment activities.
• Manage client communication, status reporting, executive updates, and steering committee presentations.
• Drive accountability across distributed and offshore/onshore teams.
• Monitor delivery KPIs, resource utilization, budget adherence, and operational efficiency.
• Support release planning, production readiness, hypercare, and transition to support teams.
• Collaborate with leadership on delivery governance, process improvements, and delivery standardization.

• Analyze client claim processing systems to ensure accurate data mapping, integration, and processing.
• Own end-to-end analysis, testing, and documentation of business requirements, particularly for fields and logic requiring custom programming.
• Interpret and document complex claim scenarios, including adjustments, readmissions, and replacement claims.
• Maintain functional expertise in one or more claims platforms such as QNXT, Health Rules (HRP), TOPS, COSMOS, Facets, Amisys Advance, NASCO, or WGS.
• Design, build, and optimize ETL/ELT pipelines to support large-scale healthcare data processing (e.g., EMR, claims, lab data).
• Perform data cleansing, transformation, and validation to ensure accuracy, consistency, and usability.
• Monitor and troubleshoot ETL workflows to identify and resolve data quality and processing issues.
• Ensure timely and accurate execution of data loads based on predefined schedules for each client.
• Develop, maintain, and document ETL processes, including data lineage, transformation rules, and technical specifications.
• Participate in the design and implementation of data warehouse solutions.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Enforce data security, governance, and compliance standards, including adherence to HIPAA and healthcare regulations.
• Ensure strict alignment with documented procedures and guidelines for data loading, layout changes, and system updates.
• Perform layout modifications and mapping adjustments based on client or system requirements.
• Conduct thorough quality checks to validate loaded data and resolve inconsistencies.
• Stay updated on evolving technologies and best practices in ETL, data warehousing, and healthcare data management.

Manager, Healthcare Data Management

• AI Governance Evaluation Analyst - specialised in Evaluation of Bias, Fairness, Explainability, Hallucination , Toxicity of all types of AI models.

Lead Assistant Manager – Data Science, Gen AI Engineer

Risk

• Be the domain expert on respective area .
• Perform manual selection of claims.
• Review audit findings.
• Generate new selection concepts/queries.

Senior Risk Analyst

Accounts Payable

• Processing NON PO/PO Invoices, Exceptions handling
• Enter time-sensitive Utility invoices and research any past due amounts to ensure for current accounts
• Ensure SLA target are achieved
• Month-end responsibilities include ensuring that all invoices are processed by month-end
• Ability to comprehend complex information quickly & respond with clear solutions

Associate – Accounts Payable

QA Engineer

• Mater Data Management - Customer/Vendor Setup, Price update, Material Master Management, Account master and Warehouse Management

Assistant Manager – Master Data Management

• Prepare and file sales and use tax returns, property tax returns, and gross receipts returns, ensuring accuracy and timely payment.
• Maintain and develop relationships with internal and external stakeholders regarding compliance-related matters.
• Liaise with state and local authorities to resolve issues related to compliance and reporting.
• Ensure adherence to indirect tax processes and update procedures as needed to reflect evolving business requirements.
• Identify and implement opportunities for improving sales and use tax compliance and reporting processes.
• Perform and review monthly reconciliations of tax accounts to ensure accurate reporting of Tax payments and accruals.
• Analyze and validate compliance data, flagging issues and collaborating with teams to resolve them efficiently.
• Leverage technology to streamline and automate tax calculations, ensuring compliance and accuracy.
• Participate in special projects and ad-hoc tasks as required by the indirect tax team.

Assistant Manager – Tax, Indirect Tax, Sales & Use Tax, VAT

IT Support

• Processing invoices and recording payment for goods and services and related expenses in the General Ledger
• Setting up vendor accounts and reconciling statements
• Respond to AP inquiries and requests (from either vendors and/or business associates).
• Periodically perform reconciliation of vendor accounts and request for missing invoices and also vendor statements.
• Responsible to adhering to applicable policy, procedures, standards and internal controls.

EXL